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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/05/15 19:52:01 UTC
[jira] [Resolved] (SPARK-7651) PySpark GMM predict, predictSoft
should fail on bad input
[ https://issues.apache.org/jira/browse/SPARK-7651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley resolved SPARK-7651.
--------------------------------------
Resolution: Fixed
Fix Version/s: 1.4.0
Assignee: Meethu Mathew
> PySpark GMM predict, predictSoft should fail on bad input
> ---------------------------------------------------------
>
> Key: SPARK-7651
> URL: https://issues.apache.org/jira/browse/SPARK-7651
> Project: Spark
> Issue Type: Bug
> Components: MLlib, PySpark
> Affects Versions: 1.3.0, 1.3.1, 1.4.0
> Reporter: Joseph K. Bradley
> Assignee: Meethu Mathew
> Priority: Minor
> Fix For: 1.4.0
>
>
> In PySpark, GaussianMixtureModel predict and predictSoft test if the argument is an RDD and operate correctly if so. But if the argument is not an RDD, they fail silently, returning nothing.
> [https://github.com/apache/spark/blob/11a1a135d1fe892cd48a9116acc7554846aed84c/python/pyspark/mllib/clustering.py#L176]
> Instead, they should raise errors.
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